Designing and Delivering a Curriculum for Data Science Education Across Europe

  • Alexander Mikroyannidis
  • John Domingue
  • Christopher Phethean
  • Gareth Beeston
  • Elena Simperl
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 716)


Data is currently being produced at an incredible rate globally, fuelled by the increasing ubiquity of the Web, and stoked by social media, sensors, and mobile devices. However, as the amount of available data continues to increase, so does the demand for professionals who have the necessary skills to manage and manipulate this data. This paper presents the European Data Science Academy (EDSA), an initiative for bridging the data science skills gap across Europe and training a new generation of world-leading data scientists. The EDSA project has established a rigorous process and a set of best practices for the production and delivery of curricula for data science. Additionally, the project’s efforts are dedicated to linking the demand for data science skills with the supply of learning resources that offer these skills. In order to achieve this, EDSA is offering interactive tools for finding learning resources and building personalised learning pathways towards acquiring the skills that are currently in demand.


Data science Curricula Courseware Skills Demand analysis Personalised learning pathways 



EDSA is a research project funded by the Horizon 2020 Framework Programme of the European Union, Grant Agreement no. 643937.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Alexander Mikroyannidis
    • 1
  • John Domingue
    • 1
  • Christopher Phethean
    • 2
  • Gareth Beeston
    • 2
  • Elena Simperl
    • 2
  1. 1.The Open UniversityMilton KeynesUK
  2. 2.University of SouthamptonSouthamptonUK

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